Bingde Hu
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The paper proposes TEMG-TTA, a novel framework that uses temporal motif-aware graph test-time adaptation to significantly improve Out-of-Distribution (OOD) anomaly detection on complex cryptocurrency blockchains.
The paper proposes TEMG-TTA, a novel framework that combines temporal motif awareness and test-time adaptation to significantly improve Out-of-Distribution (OOD) anomaly detection in complex blockchain transaction graphs.
This paper proposes LBR, a framework to mitigate length bias in large language model-based recommendation systems.
Papers
LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation
Hongchen Li, Bohao Wang, Jingbang Chen, Weiqin Yang +4 more
This paper proposes LBR, a framework to mitigate length bias in large language model-based recommendation systems.